Hannah Overbye-Thompson

Hannah Overbye-Thompson (Ph.D., University of California, Santa Barbara) is an Assistant Professor in the Department of Advertising and Public Relations in the College of Communication Arts and Sciences at Michigan State University, where she studies how people recognize, respond to, and work around bias in AI and algorithmic systems. Her research combines computational modeling of human decision-making (including drift-diffusion models) with survey and experimental methods to explain when users detect algorithmic bias, how they adapt their technology use, and what that means for designing fairer AI. Her work appears in Journal of Computer-Mediated Communication, Computers in Human Behavior, International Journal of Human–Computer Interaction, and AI & Society.